my prefect server setup
prefect-metrics.waow.tech
python
orchestration
fix scoring: additive blend so new items aren't zeroed out
the multiplicative formula (recency * engagement * ...) gave score=0
to any item with no comments/reactions, burying 60% of open issues
including well-filed bugs. switch to additive blend where recency is
the primary signal and engagement boosts rather than gates.
140 → 14 zero-score items on current data.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
+15
-4
+7
-1
analytics/models/enrichment/int_github_issues_scored.sql
+7
-1
analytics/models/enrichment/int_github_issues_scored.sql
···
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LEFT JOIN {{ ref('known_contributors') }} kc ON i."user" = kc.login
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)
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SELECT *,
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-
ROUND(recency_score * engagement_score * label_multiplier * contributor_weight, 4) AS importance_score
20
+
-- additive blend: recency is primary signal, engagement boosts
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+
ROUND(
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+
(0.7 * recency_score + 0.3 * engagement_score)
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+
* label_multiplier
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+
* contributor_weight,
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+
4
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+
) AS importance_score
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FROM scored
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WHERE state = 'open'
+8
-3
analytics/models/enrichment/int_tangled_items_scored.sql
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-3
analytics/models/enrichment/int_tangled_items_scored.sql
···
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t.*,
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-- recency: decay over 30 days, max 1.0
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GREATEST(0.0, 1.0 - DATEDIFF('day', t.created_at::DATE, CURRENT_DATE) / 30.0) AS recency_score,
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-
-- no engagement data on PDS — flat 0.5
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-
0.5 AS engagement_score,
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+
-- no engagement data on PDS — flat 0.0
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+
0.0 AS engagement_score,
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-- contributor weight (from seed)
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COALESCE(kc.weight, 1.0) AS contributor_weight
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FROM {{ ref('stg_tangled_items') }} t
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LEFT JOIN {{ ref('known_contributors') }} kc ON t.author_handle = kc.login
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)
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SELECT *,
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-
ROUND(recency_score * engagement_score * contributor_weight, 4) AS importance_score
14
+
-- same additive blend as github; engagement=0 means recency-only
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+
ROUND(
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+
(0.7 * recency_score + 0.3 * engagement_score)
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+
* contributor_weight,
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+
4
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+
) AS importance_score
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FROM scored